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引用本文:王小兰,王海娥.三峡库区重庆段新型城镇化发展水平测度及其空间关联特征分析[J].中国农业资源与区划,2020,41(7):191~200
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三峡库区重庆段新型城镇化发展水平测度及其空间关联特征分析
王小兰1※王海娥2
1.西南科技大学土木工程与建筑学院,四川绵阳621010; 2.四川省农业科学院园艺研究所,成都610066
摘要:
[目的]探讨三峡库区重庆段新型城镇化发展水平以期对研究区的可持续发展提供科学的决策依据。[方法]文章从人口、经济、社会城镇化和城乡一体化4个维度选取指标构建新型城镇化发展水平评价指标体系,利用熵值法和加权综合评价法对2016年三峡库区重庆段各区县新型城镇化发展水平进行测度,进而利用探索性空间数据分析方法分析其空间关联特征。[结果]库区新型城镇化发展水平呈现出东—西两极分化的格局,并呈梯级结构分布,西部最高,中部次之,东部最低; 从空间整体来看,库区新型城镇化发展水平相似的区县(高值—高值或低值—低值)在空间上集聚,即呈现出正相关性; 从局部关联来看,库区新型城镇化发展水平中属于H-H集聚模式的区县集中分布在库区的西部区域,属于L-L集聚模式的区县集中连片分布在库区的中部和东部区域,属于H-L集聚模式的区县零散分布在西部的涪陵区和中部的万州区。[结论]库区各个区县的新型城镇化发展水平并不均衡,从空间集聚来看,主要属于H-H、L-L这两种集聚模式; 研究结果对于库区相关政府部门制定新型城镇化发展战略,实现库区的可持续发展具有重要的指导意义。
关键词:  新型城镇化空间关联熵值法ESDA三峡库区重庆段
DOI:
分类号:F29927
基金项目:国家自然科学基金委“劳动力迁移背景下山区农户贫困脆弱性研究--以岷江上游为例”(41601612);四川省教育厅“成渝城市群人口城镇化质量研究”(17ZB0440);四川民族山地经济发展研究中心“四川省民族地区农户贫困脆弱性研究”(SDJJ1802);资源型城市发展研究中心“四川省资源型城市城镇化与生态环境脱钩分析”(ZYZX-YB-1802);西南科技大学龙山学术人才科研支持计划(17LZX679, 18LZX660)
MEASUREMENT AND SPATIAL CORRELATION FEATURE ANALYSIS OF THE NEW URBANIZATION DEVELOPMENT LEVEL IN THE CHONGQING SECTION OF THE THREE GORGES RESERVOIR AREA, CHINA
Wang Xiaolan1※Wang Hai′e2
1.School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China;2. Horticulture Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan 610066, China
Abstract:
This study aims to discuss the development level of new urbanization in Chongqing section of the Three Gorges Reservoir area, so as to provide scientific decision making basis for the sustainable development of the study area. This study selected indicators from the population, economy, social urbanization and urban rural integration to build an evaluation index system of the new urbanization development level of each district and county of the Chongqing section of the Three Gorges Reservoir Area (TGRA), China in 2016. The entropy method and weighted comprehensive evaluation method was used to measure the new urbanization development level, and then the exploratory spatial data analysis method was applied to analyze its spatial correlation characteristics. The evaluation results showed that the new urbanization development level of the TGRA presented an east west polarized pattern and a cascade structure distribution, with the highest in the west and the lowest in the east. From the perspective of the area as a whole, districts and counties in the TGRA with similar development levels of new urbanization (high value high value or low value low value) clustered together, which showed positive correlation. From the perspective of the local distribution, the districts and counties belonging to the H-H agglomeration mode of the new urbanization development level were concentrated in the western region of the TGRA; the districts and counties belonging to the L-L agglomeration mode were distributed contiguously in the central and eastern regions of TGRA; and the districts and counties belonging to the H-L agglomeration mode had a more scattered distribution in Fuling district and Wanzhou district. The research results have important significance for guiding relevant government departments of the TGRA to formulate new urbanization development strategy and realize the sustainable development of the TGRA.
Key words:  new urbanization  spatial correlation  entropy method  ESDA  Chongqing section of the Three Gorges Reservoir Area, China
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